Question generation in natural language has a wide variety of applications. It can be a
helpful tool for chatbots for generating interesting questions as also for automating the …

While exam-style questions are a fundamental educational tool serving a variety of
purposes, manual construction of questions is a complex process that requires training …

Natural question generation (QG) aims to generate questions from a passage and an
answer. Previous works on QG either (i) ignore the rich structure information hidden in …

Automatic item generation (AIG) has the potential to greatly expand the number of items for
educational assessments, while simultaneously allowing for a more construct-driven …

Emerging research in Neural Question Generation (NQG) has started to integrate a larger
variety of inputs, and generating questions requiring higher levels of cognition. These trends …

We investigate the difficulty levels of questions in reading comprehension datasets such as
SQuAD, and propose a new question generation setting, named Difficulty-controllable …

Given the recent increased interest in ChatGPT in the L2 teaching and learning community,
the present study sought to examine ChatGPT's potential as a resource for generating L2 …

Abstract Knowledge graphs have become ubiquitous data sources and their utility has been
amplified by the research on ability to answer carefully crafted questions over knowledge …

Automatic question generation (QG) is a challenging problem in natural language
understanding. QG systems are typically built assuming access to a large number of training …

Recent approaches to question generation have used modifications to a Seq2Seq
architecture inspired by advances in machine translation. Models are trained using teacher …